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Django in Production

Django in Production

By : Arghya Saha
4.7 (9)
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Django in Production

Django in Production

4.7 (9)
By: Arghya Saha

Overview of this book

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play. This book will first delve into the true meaning of "good practice" and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices. By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.
Table of Contents (21 chapters)
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1
Part 1 – Using Django and DRF to Build Modern Web Application
7
Part 2 – Using the Advanced Concepts of Django
13
Part 3 – Dockerizing and Setting Up a CI Pipeline for Django Application
16
Part 4 – Deploying and Monitoring Django Applications in Production

Setting up PostgreSQL with a Django project

Django integrates SQLite3 for initial development purposes out of the box, which helps developers get started with their projects without the hassle of initial database setup. In our case, we used SQLite3 in Chapter 1. However, it is a file-based database that is not recommended to be used in production since it cannot scale.

Instead, we shall use PostgreSQL as our choice of database to work with Django throughout this book. Since it is always recommended to keep your local development environment as close to the production environment as possible, we shall set up PostgreSQL for our local development.

Important note

You can use other supported databases such as MySQL, MariaDB, and Oracle (https://docs.djangoproject.com/en/stable/ref/databases/#databases) by just making a small change in the settings file. But please remember that not all databases support all the ORM functionalities, so if you are using another database, check the...

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